Projects per year
Personal profile
Biography
Dr. Ferda Ofli is a Senior Scientist at Qatar Computing Research Institute. Before joining QCRI, he was a postdoctoral researcher at the University of California, Berkeley, CA, USA from 2010 to 2014. He received BSc degrees both in Electrical and Electronics Engineering and Computer Engineering, and a PhD degree in Electrical Engineering from Koc University, Istanbul, Turkey, in 2005 and 2010, respectively.
Dr. Ofli's general research interests span computer vision, machine learning, remote sensing, and multimedia signal processing. In recent years, he focuses on using deep learning techniques on image data, which can be obtained from the Internet, UAVs, or satellites, to improve object recognition and scene understanding in the wild, particularly for applications in the social good domain ranging from disaster response and management to sustainable development.
Dr. Ofli is a Senior Member of IEEE and ACM with more than 80 publications in top-tier conferences and journals including CVPR, ECCV, WWW, and PAMI. His works have received several best paper awards and been featured in mainstream media outlets including BBC, New Scientist, and Wired, among others.
Education/Academic qualification
Electrical and Electronic Engineering, PhD, Koc University
Sept 2005 → Aug 2010
Computer Engineering, Bachelor, Koc University
Sept 2000 → Jun 2005
Electrical and Electronic Engineering, Bachelor, Koc University
Sept 2000 → Jun 2005
External positions
Member, AAAI
Dec 2021 → …
Senior Member, IEEE
Aug 2018 → …
Senior Member, ACM
Jul 2018 → …
Postdoctoral Scholar, University of California at Berkeley
1 Sept 2010 → 10 Apr 2014
Member, ACM
Jan 2010 → Jul 2018
Member, IEEE
Jan 2007 → Aug 2018
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Collaborations and top research areas from the last five years
Projects
- 2 Finished
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QCRI-CORE-000002: Crisis Computing
Imran, M. (Lead Principal Investigator) & Ofli, F. (Principal Investigator)
1/07/23 → 30/06/24
Project: Applied Research
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EX-QNRF-BFC-1: Re-Energize Governance of Disaster Risk Reduction and Resilience for Sustainable Development
Imran, M. (Lead Principal Investigator) & Ofli, F. (Principal Investigator)
1/05/20 → 1/06/23
Project: Applied Research
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Detecting Natural Disasters, Damage, and Incidents in the Wild
Weber, E., Marzo, N., Papadopoulos, D. P., Biswas, A., Lapedriza, A., Ofli, F., Imran, M. & Torralba, A., 2020, Computer Vision – ECCV 2020 - 16th European Conference, 2020, Proceedings. Vedaldi, A., Bischof, H., Brox, T. & Frahm, J.-M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 331-350 20 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12364 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Open Access38 Citations (Scopus) -
Flood Insights: Integrating Remote and Social Sensing Data for Flood Exposure, Damage, and Urgent Needs Mapping
Akhtar, Z., Qazi, U., El-Sakka, A., Sadiq, R., Ofli, F. & Imran, M., 25 Mar 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 21, p. 22716-22724 9 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
MEDIC: a multi-task learning dataset for disaster image classification
Alam, F., Alam, T., Hasan, M. A., Hasnat, A., Imran, M. & Ofli, F., Jan 2023, In: Neural Computing and Applications. 35, 3, p. 2609-2632 24 p.Research output: Contribution to journal › Article › peer-review
Open Access35 Citations (Scopus) -
Incidents1M: A Large-Scale Dataset of Images with Natural Disasters, Damage, and Incidents
Weber, E., Papadopoulos, D. P., Lapedriza, A., Ofli, F., Imran, M. & Torralba, A., 1 Apr 2023, In: IEEE Transactions on Pattern Analysis and Machine Intelligence. 45, 4, p. 4768-4781 14 p.Research output: Contribution to journal › Article › peer-review
Open Access18 Citations (Scopus) -
Landslide detection in real-time social media image streams
Ofli, F., Imran, M., Qazi, U., Roch, J., Pennington, C., Banks, V. & Bossu, R., Aug 2023, In: Neural Computing and Applications. 35, 24, p. 17809-17819 11 p.Research output: Contribution to journal › Article › peer-review
Open Access4 Citations (Scopus)